AI SearchA genetic algorithms approach to technical analysis on stock exchange
Call Number: AIT Thesis no. CS-91-18 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. CS-91-18Publication details: Bangkok : Asian Institute of Technology, 1991Description: 88 pSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1991 Summary: In this thesis, the author introduces a method that uses Genetic Algorithms (GAs ) to acquire stock trading rules on machine learning of the expert system. The learned rules support decisions of forecasting the trends of prices, index, moving average lines for buying and selling the stocks. The thesis reports results of experiments with the prototype implementation. These results indicate that Genetic Algorithmsbased learning is good to rules of stock exchange. Moreover, the thesis proposes some considerations for the application. Meanwhile, a package is designed for the customers' trading on stock exchange market.
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Asian Institute of Technology Library Archives | AIT Thesis no. CS-91-18 (Browse shelf(Opens below)) | Available | 30050120372817 |
A thesis submitted in partial fulfi l lment of the requirements for the degree of Master of Science, School of Engineering and Technology
Thesis (M.Sc.) - Asian Institute of Technology, 1991
In this thesis, the author introduces a method that uses Genetic Algorithms (GAs ) to acquire stock trading rules on machine learning of the expert system. The learned rules support decisions of forecasting the trends of prices, index, moving average lines for buying and selling the stocks. The thesis reports results of experiments with the prototype implementation. These results indicate that Genetic Algorithmsbased learning is good to rules of stock exchange. Moreover, the thesis proposes some considerations for the application. Meanwhile, a package is designed for the customers' trading on stock exchange market.
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